Deploy Claude-powered
intelligence across
your organization.
A structured program that turns Claude, powered by Anthropic, into production AI workflows, custom agents, and decision systems your team can actually run — and improve over time.
Apper AI Solutions has achieved the Select partner tier in the Claude Partner Network Services Track.
The Claude Partner Network is how Anthropic works with the firms that put Claude into production for customers. The Services Track recognizes partners for building a certified delivery team, delivering Claude use cases for clients, and proving the work through public customer references. Partners advance through Certified, Select, Preferred, and Global Premier tiers.
Learn more about the program at claude.com/partnersView our Claude Partner Directory listingClaude is different.
Building on it
should be too.
Most AI consulting treats every model the same. We do not. Claude's reasoning quality, tool use, and safety posture unlock workflows other models cannot run reliably.
A frontier model team can actually trust
01Claude Sonnet 5.5 and Claude Opus 5.5 are built for reasoning, code generation, and long-context understanding, with safety designed in. In our delivery work that means fewer hand-holds and more production-ready outputs -- though every system still needs evaluation and human oversight.
Built for real workflows, not just chat
02Model Context Protocol (MCP), tool use, Computer Use, and the Claude Agent SDK turn Claude into an operator that can read your systems, run actions, and ship outcomes -- not just answer questions.
Enterprise-grade by default
03Constitutional AI training, transparent limits, no training on your data, and SOC 2 / HIPAA-ready deployment options. Designed for industries that cannot afford an AI mistake.
Right-sized economics for SMBs
04Claude Haiku 4.5 for high-volume tasks, Claude Sonnet 5.5 for daily work, Claude Opus 5.5 for the hard problems. Prompt caching and batch APIs cut per-call costs by up to 90% when designed correctly.
Three phases.
One coherent journey.
Each phase stands on its own. Start where you are -- we pick up at any stage and run through to production.
Get your team Claude-ready in two weeks.
Before a single agent ships, your leaders, operators, and engineers need a shared mental model of what Claude can and cannot do. The Enable phase removes ambiguity, surfaces the highest-value use cases, and sets the governance rails you will need later.
- Executive briefing on Claude capabilities and limits
- Hands-on prompt engineering workshop for power users
- AI readiness and risk assessment
- Use case discovery and ROI prioritization
- Responsible AI policy and governance template
A signed-off use case backlog, a trained team, and a governance baseline -- so the next phase moves fast.
Enable is a consulting sprint that produces a backlog and a governance baseline. If what you need is depth of skill across a whole department, that is Claude Training & Enablement Services.
Design the system before you build it.
The Architect phase produces a reference architecture for the top one or two prioritized use cases. We pick the right Claude model for each step, design the data and integration patterns, and lock in evaluation criteria before a line of production code is written.
- Reference architecture diagram and decision log
- Model routing strategy (Claude Haiku 4.5 / Claude Sonnet 5.5 / Claude Opus 5.5)
- MCP server design and tool integration map
- Data security, PII handling, and retention plan
- Evaluation harness and acceptance criteria
A buildable blueprint with budgeted token costs, integration contracts, and pass/fail tests -- ready to hand to a build team.
Ship a production agent in 6 to 12 weeks.
The Build phase delivers a working, integrated, and monitored Claude system. We pair-program with your team using Claude Code, harden the agent against real-world inputs, and instrument it so you can see exactly what it is doing in production -- and improve it over time.
- Custom Claude agent or workflow, deployed
- MCP servers connecting your systems
- Prompt caching, fallback, and rate-limit handling
- Logging, observability, and evaluation dashboards
- Runbook, handover, and 30-day stabilization support
A live Claude system handling real work, with the evals and dashboards to prove it is working -- and your team trained to extend it.
Six capabilities.
One coherent platform.
Custom Claude Agents
Single-purpose agents that own a workflow end-to-end -- triage, draft, decide, escalate. Built on the Claude Agent SDK with proper tool use, memory, and guardrails.
MCP Server Development
Custom Model Context Protocol servers that let Claude securely read and act on your CRM, ticketing, database, knowledge base, or internal APIs.
Claude Code for Engineering
Roll out Claude Code to your engineering team with the conventions, sub-agents, and review workflows that make it a force multiplier -- not a liability.
Workflow Automation
Multi-step business processes -- onboarding, claims, document review, compliance checks -- redesigned around Claude with humans kept in the loop where it matters.
Evaluation and Observability
Eval datasets, automated regression tests, and production monitoring so you can change a prompt or model without breaking what works.
Model and Cost Optimization
Right-sizing Claude Haiku 4.5, Claude Sonnet 5.5, and Claude Opus 5.5 across your stack. Prompt caching, batching, and routing patterns that cut token spend without hurting quality.
Sprint-based engagements.
Fixed scope. Real outcomes.
Enable Sprint
2 weeksWorkshops, readiness assessment, and a prioritized use case backlog. Best for teams that are still asking 'where do we even start?'
Use case backlog + governance baseline
Architect Sprint
3 to 4 weeksDeep design work for one or two priority use cases. Ends with a buildable blueprint, costed and evaluation-ready.
Reference architecture + eval plan
Build Sprint
6 to 12 weeksProduction build of a Claude agent or workflow, with full observability and a 30-day stabilization period.
Production system + runbook
CPS Retainer
OngoingMonthly engagement for organizations running multiple Claude systems -- continuous optimization, new use cases, and team coaching.
Roadmap execution + evals
We are model-informed, not model-naive. Where a use case genuinely calls for a different frontier model, we say so. But when the work demands reasoning a business can stake decisions on, we build on Claude. Deployed via the Claude API, Amazon Bedrock, or Google Vertex AI — whichever fits your security, procurement, and data residency requirements.
Built for organizations
ready to put AI to work.
BPO and shared services operations
Replace tier-1 ticket handling, QA monitoring, and back-office automation with Claude agents that work alongside your people -- not against them.
FinTech and regulated industries
Document review, KYC summarization, fraud triage, and compliance research -- with audit logging and human checkpoints designed in from day one.
Professional services firms
Law, accounting, consulting, and advisory teams that bill by the hour but want Claude to handle the research, drafting, and review steps in the background.
Enterprise IT and engineering
Roll Claude Code out across your engineering org, build internal MCP servers, and replace brittle scripts with reliable agentic workflows.
Related work and resources.
Workforce AI Agent Engineering
Our broader AI agent engineering practice -- model-agnostic automation for businesses that need outcomes, fast.
See the service BlogYour First AI Agent: What to Automate
A practical guide to picking the right first use case so the Enable phase delivers real value, fast.
Read article IndustryClaude for BPO Operations
How a Philippine BPO used Claude-powered agents to handle 85% of tier-1 tickets in 12 days.
Learn more